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FEATURES.md

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Live Conversational Threads - Features Documentation

Backend Features

1. Transcript Processing

  • Chunking System:

    • Implements a sliding window chunking mechanism to break down large transcripts into manageable pieces
    • Uses a configurable chunk size (default 10,000 words) to ensure optimal processing
    • Automatically splits conversations into smaller segments while maintaining context

  • Smart Chunking:

    • Uses overlap between chunks (default 2,000 words) to maintain context continuity
    • Prevents context loss at chunk boundaries
    • Ensures smooth transitions between processed segments

  • UUID-based Chunk Management:

    • Each chunk is assigned a unique identifier for tracking
    • Enables precise reference to specific conversation segments
    • Facilitates easy retrieval and updating of chunks

2. Conversation Analysis

  • Thread Detection:

    • Automatically identifies and structures conversational threads
    • Detects topic shifts and new discussion branches
    • Maintains chronological order of conversations
    • Identifies related discussion points across the conversation

  • Context Tracking:

    • Maintains relationships between different parts of the conversation
    • Tracks how topics evolve and connect
    • Preserves conversation history and context
    • Enables understanding of topic dependencies

  • Bookmark System:

    • Create bookmarks for important discussion points
      • Allows users to mark significant moments in conversations
      • Enables quick navigation to key discussion points
      • Preserves important context for future reference
    • Reopen and update existing bookmarks
      • Supports revisiting and expanding on bookmarked topics
      • Maintains history of bookmark interactions
    • Track contextual progress within bookmarked discussions
      • Monitors evolution of bookmarked topics
      • Records insights and developments

3. JSON Generation

  • Structured Output: Generates JSON-formatted conversation nodes with:
    • Node names and types
      • Unique identifiers for each conversation segment
      • Classification of nodes (conversational_thread, bookmark)
    • Predecessor and successor relationships
      • Tracks conversation flow
      • Maintains chronological order
    • Contextual relations between nodes
      • Maps how topics influence each other
      • Records dependencies between discussions
      • Maintains conversation context
    • Linked nodes tracking
      • Records all related discussion points
      • Enables cross-reference between topics
      • Supports comprehensive topic analysis
    • Bookmark status
      • Tracks which nodes are bookmarked
      • Records bookmark creation and updates
      • Maintains bookmark history
    • Contextual progress indicators
      • Marks significant developments
      • Tracks topic evolution
      • Highlights key insights
    • Detailed summaries
      • Provides concise overview of each node
      • Captures key points and developments

4. Formalism Generation

  • Causal Loop Diagrams:

    • Creates dynamic causal loop diagrams from conversation data
    • Visualizes relationships between concepts
    • Shows feedback loops and dependencies

  • Research Context Integration:

    • Aligns formalism with user's research background
    • Uses domain-specific terminology
    • Maintains academic rigor

  • Loop Detection:

    • Identifies and constructs complete causal loops
    • Detects reinforcing and balancing loops
    • Validates causal relationships

  • Variable Management:

    • Domain-specific variable naming
      • Uses terminology from user's field
      • Ensures clarity and precision
      • Maintains academic standards
    • Clear directional relationships
      • Shows cause and effect
      • Indicates influence direction
      • Maintains logical flow
    • Strength-based edge connections
      • Quantifies relationship strength
      • Shows influence magnitude
      • Supports analysis of impact

5. API Endpoints

  • /get_chunks/:

    • Processes and chunks transcript input
    • Returns structured chunk data
    • Supports large transcript handling

  • /generate-context-stream/:

    • Streams context generation results
    • Provides real-time updates
    • Supports progressive loading

  • /save_json/:

    • Saves conversation structure and graph data
    • Supports file naming and organization
    • Facilitates data sharing

  • /generate_formalism/:

    • Generates formalism based on conversation data
    • Creates causal loop diagrams
    • Supports research context

Frontend Features

1. Input Management

  • Transcript Input:

    • Dedicated component for entering conversation transcripts
    • Supports large text input
    • Provides formatting options

  • User Preferences:

    • Interface for setting research background and preferences
    • Customizes formalism generation
    • Supports user-specific needs

  • Input Validation:

    • Ensures proper formatting and content
    • Prevents processing errors
    • Provides user feedback

2. Visualization Components

  • Contextual Graph:

    • Interactive visualization of conversation threads
      • Shows conversation structure
      • Enables navigation
      • Supports exploration
    • Node relationship display
      • Shows connections between topics
      • Indicates dependencies
      • Supports analysis
    • Bookmark highlighting
      • Marks important points
      • Enables quick access
      • Supports focus
    • Context progress indicators
      • Shows topic development
      • Tracks evolution
      • Highlights insights

  • Structural Graph:

    • Displays formal structure of conversations
      • Shows organization
      • Enables understanding
      • Supports analysis
    • Shows causal relationships
      • Indicates influences
      • Shows dependencies
      • Supports system thinking
    • Interactive node exploration
      • Enables detailed viewing
      • Supports investigation
      • Facilitates understanding

3. Formalism Interface

  • Formalism Generation:

    • Interface for creating causal loop diagrams
    • Supports customization
    • Enables analysis

  • Formalism List:

    • Displays and manages generated formalisms
    • Supports organization
    • Enables comparison

  • Visual Customization:

    • Options for adjusting diagram appearance
    • Supports personalization
    • Enables clarity
    • Facilitates presentation

4. Data Management

  • Save Functionality:

    • Save conversation structures
      • Preserves work
      • Enables sharing
      • Supports collaboration
    • Export graph data
      • Enables portability
      • Supports analysis
      • Facilitates sharing
    • File naming and organization
      • Maintains order
      • Enables retrieval
      • Supports management

  • JSON Management:

    • Load existing structures
      • Enables continuation
      • Supports modification
      • Facilitates sharing
    • Update and modify saved data
      • Supports evolution
      • Enables improvement
      • Facilitates development
    • Export capabilities
      • Enables portability
      • Supports sharing
      • Facilitates collaboration

5. UI Components

  • Legend:

    • Visual guide for graph elements and relationships
    • Supports understanding
    • Enables navigation

  • Interactive Controls:

    • Zoom and pan capabilities
      • Enables detailed viewing
      • Supports exploration
    • Node selection
      • Enables focus
      • Supports analysis
    • Relationship highlighting
      • Shows connections
      • Supports analysis

  • Responsive Design:

    • Adapts to different screen sizes and devices
    • Ensures accessibility
    • Supports usability

Integration Features

1. Real-time Processing

  • Streaming Updates:

    • Real-time updates of conversation analysis
    • Provides immediate feedback
    • Supports interaction

  • Progressive Loading:

    • Efficient handling of large transcripts
    • Prevents overload
    • Supports performance
    • Enables scalability

  • Background Processing:

    • Non-blocking operations for better UX
    • Maintains responsiveness
    • Supports efficiency

2. Error Handling

  • Graceful Failure:

    • Robust error handling and recovery
    • Prevents data loss
    • Supports reliability

  • User Feedback:

    • Clear error messages and status updates
    • Supports understanding
    • Enables resolution

  • Retry Mechanisms:

    • Automatic retry for failed operations
    • Ensures completion
    • Supports reliability

3. Security

  • API Key Management:

    • Secure handling of API credentials
    • Prevents unauthorized access
    • Supports privacy

  • CORS Configuration:

    • Proper cross-origin resource sharing setup
    • Ensures security
    • Supports integration

  • Input Validation:

    • Security measures for user input
    • Prevents attacks
    • Supports safety